EAGER: A Microfluidic Device for Studying Environment-Triggered Migration of Glioblastoma Cells

EAGER：一种用于研究环境触发的胶质母细胞瘤细胞迁移的微流体装置

• 批准号: 2129352
• 负责人: Stefan Bossmann
• 金额: $ 30万
• 依托单位: University of Kansas Medical Center Research Institute Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129352&HistoricalAwards=false
• 关键词: EAGER; Microfluidic; Device; Studying; Environment

Glioblastoma (GBM) is the most common and most aggressive adult primary brain tumor. GBM is known for the patient's poor survival of less than 16 months despite surgical resection, radiation, and/or chemotherapy. There is a growing awareness that the interaction of tumors with their microenvironment, together with metabolic factors, is responsible for altering gene expression patterns, which enable the tumor to adapt and escape tumor treatment. This collaborative research project aims to develop novel biophotonic methods to recognize genome-wide epigenetic mutations in GBM. This methodology will not only permit the early diagnosis of GBM, it will also lead to a combination of mechanic and metabolic stimuli, which will be able to restore apoptosis (programmed cell death) in GBM and other solid tumors. This proposal has the following aims: 1: Development of Nanoscale Technologies for Visualization and Characterization of Chromatin Alteration Induced by Mechano-metabolic Cues; Aim 2: Chromatin Level Epigenetic Engineering; and Aim 3: A Deep Hybrid Learning Model to Recognize and Predict Mechano-metabolic Conditions for Introducing Programmed Cell Death in GBM. The development of a new toolbox for reprogramming of transformed cells will have implications that will reach far beyond glioblastoma. It will apply to virtually all diseases with epigenetic drivers, among them numerous cancers, neurodegenerative diseases, cardiovascular diseases, obesity and metabolic syndrome.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

胶质母细胞瘤（GBM）是最常见，最具侵略性的成年原发性脑肿瘤。尽管手术切除，放射线和/或化学疗法，但GBM以患者的生存率不到16个月而闻名。人们越来越意识到肿瘤与微环境的相互作用以及代谢因子是负责改变基因表达模式的，从而使肿瘤能够适应和逃脱肿瘤治疗。 该协作研究项目旨在开发新型的生物光学方法，以识别GBM中全基因组表观遗传突变。该方法不仅将允许早期诊断GBM，还将导致机械和代谢刺激的结合，这将能够恢复GBM和其他实体瘤中的凋亡（程序性细胞死亡）。该提案具有以下目的：1：开发纳米级技术，用于可视化和通过机械代谢提示引起的染色质改变的特征； AIM 2：染色质水平表观遗传学工程；和目标3：一个深层的混合学习模型，以识别和预测用于引入GBM的程序性细胞死亡的机械代谢条件。用于重新编程的新工具箱的开发将具有远远超出胶质母细胞瘤的含义。它将适用于几乎所有具有表观遗传驱动因素的疾病，其中包括许多癌症，神经退行性疾病，心血管疾病，肥胖和代谢综合征。这项奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和广泛的影响来审查CRERIA的评估。

项目成果

Iron-Based Magnetic Nanosystems for Diagnostic Imaging and Drug Delivery: Towards Transformative Biomedical Applications.

• DOI: 10.3390/pharmaceutics14102093
• 发表时间: 2022-09-30
• 期刊: Pharmaceutics
• 影响因子: 5.4
• 作者: Bossmann SH;Payne MM;Kalita M;Bristow RMD;Afshar A;Perera AS
• 通讯作者: Perera AS

Impacts of Behavioral Biases on Active Learning Strategies

行为偏差对主动学习策略的影响

• DOI: 10.1109/icaiic54071.2022.9722689
• 发表时间: 2022
• 期刊: 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC
• 作者: Agarwal, Deepesh;Covarrubias-Zambrano, Obdulia;Bossmann, Stefan;Natarajan, Balasubramaniam
• 通讯作者: Natarajan, Balasubramaniam

Mitochondrial Targeting Peptide-based Nanodelivery for Cancer Treatment

用于癌症治疗的基于线粒体靶向肽的纳米递送

• DOI: 10.2174/1389203723666220520160435
• 发表时间: 2022
• 期刊: Current Protein & Peptide Science
• 影响因子: 2.8
• 作者: Ehsan, Sumia;Covarrubias-Zambrano, Obdulia;Bossmann, Stefan H.
• 通讯作者: Bossmann, Stefan H.